
/**
 * Copyright 2023 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#ifndef MINDSPORE_CCSRC_PLUGIN_DEVICE_GPU_KERNEL_CUDA_IMPL_CUDA_PUBLIC_OCCUPANCY_H_
#define MINDSPORE_CCSRC_PLUGIN_DEVICE_GPU_KERNEL_CUDA_IMPL_CUDA_PUBLIC_OCCUPANCY_H_
#include <cuda_runtime.h>
#define MAX_THREADS 1024
template <typename T>
static int FetchMaxBlokcSize(T cuda_kernel, const int share_memory_size = 0) {
  int minGridSize{0};
  int blockSize{0};
  cudaOccupancyMaxPotentialBlockSize(&minGridSize, &blockSize, cuda_kernel, share_memory_size, MAX_THREADS);
  return blockSize;
}

#endif  // MINDSPORE_CCSRC_PLUGIN_DEVICE_GPU_KERNEL_CUDA_IMPL_CUDA_PUBLIC_OCCUPANCY_H_
